Modern big data architectures : a multi-agent systems perspective /
Dominik Ryżko.
- 1 online resource : illustrations
Includes bibliographical references and index.
CHAPTER 1: Introduction -- 1.1 Motivation -- 1.2 Assumptions -- 1.3 For Whom Is This Book? -- 1.4 Book Structure -- CHAPTER 2: Evolution of IT Architectures and Paradigms -- 2.1 Evolution of IT Architectures -- 2.2 Actors and Agents -- 2.3 From ACID to BASE, CAP, and NoSQL -- The Database (R)evolution -- 2.4 The Cloud -- 2.5 From Distributed Sensor Networks to the Internet of Things and Cyber-Physical Systems -- 2.6 The Rise of Big Data -- CHAPTER 3: Sources of Data -- 3.1 The Internet 3.2 Scientific Data -- 3.3 Industrial Data -- 3.4 Internet of Things -- CHAPTER 4: Big Data Tasks -- 4.1 Recommender Systems -- 4.2 Search -- 4.3 Ad-tech and RTB Algorithms -- 4.4 Cross-Device Graph Generation -- 4.5 Forecasting and Prediction Systems -- 4.6 Social Media Big Data -- 4.7 Anomaly and Fraud Detection -- 4.8 New Drug Discovery -- 4.9 Smart Grid Control and Monitoring -- 4.10 IoT and Big Data Applications -- CHAPTER 5: Cloud Computing -- 5.1 Cloud Enabled Architectures -- 5.2 Agents and the Cloud -- CHAPTER 6: Big Data Architectures -- 6.1 Big Data Computation Models 6.2 Publish-Subscribe Systems -- 6.3 Stream Processing -- 6.4 Higer Level Big Data Architectures -- 6.5 Industry and Other Approaches -- 6.6 Actor and Agent-Based Big Data Architectures -- CHAPTER 7: Big Data Analytics, Mining, and Machine Learning -- 7.1 To SQL or Not to SQL -- 7.2 Big Data Mining and Machine Learning -- CHAPTER 8: Physically Distributed Systems -- Mobile Cloud, Internet of Things, Edge Computing -- 8.1 Mobile Cloud -- 8.2 Edge and Fog Computing -- 8.3 Internet of Things -- CHAPTER 9: Summary -- BIBLIOGRAPHY -- INDEX -- END USER LICENSE AGREEMENT
"This book describes modern concepts and architectures for big data processing and analytics. It shows how data sets are produced and how they can be utilized to bring value in various branches of industry and science. It elaborates on how to apply common computational models and state of the art architectures to accomplish these tasks. Each chapter provides practical examples while describing solutions, which are universal and generic enough to be applicable in a wide variety of use cases. What is unique to this work, is the joint analysis of big data and multi-agent systems, with respect to distributed, intelligent processing of very large data sets. It is argued that we have arrived at the point of convergence of the base concepts of agent, actor, micro-service etc. and we can take the best from both fields in order to build next generation of systems"--